$184 - $357/hr
JR2022618Want to build the data infrastructure that powers autonomous driving at scale? NVIDIA is seeking a Senior MLOps Engineer to join our Autonomous Driving organization in Santa Clara, CA. This ...
$184 - $357/hr
JR2022618Want to build the data infrastructure that powers autonomous driving at scale? NVIDIA is seeking a Senior MLOps Engineer to join our Autonomous Driving organization in Santa Clara, CA. This ...
$150 - $200/hr
You Will Design and architect a unified MLOps and forecasting platform on Databricks, leveraging ... PhD preferred. * 10+ years of experience in data engineering, with a significant focus on building ...
$150 - $200/hr
You Will Design and architect a unified MLOps and forecasting platform on Databricks, leveraging ... PhD preferred. * 10+ years of experience in data engineering, with a significant focus on building ...
MLOps Engineer ID72409
Carrollton, KY · On-site
$120 - $180/hr
Partner closely with data scientists and AI researchers to translate experimental models into ... in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering ; * Degree in ...
MLOps Engineer ID72409
Carrollton, KY · On-site
$120 - $180/hr
Partner closely with data scientists and AI researchers to translate experimental models into ... in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering ; * Degree in ...
$150 - $200/hr
Experience with MLOps, data pipelines, and cloud distributed systems * Proficiency in Python for ... A record of ownership, accountability, and customer‑focused engineering * Proven track record of ...
$150 - $200/hr
Experience with MLOps, data pipelines, and cloud distributed systems * Proficiency in Python for ... A record of ownership, accountability, and customer‑focused engineering * Proven track record of ...
$140 - $210/hr
MLOps workflows and model deployment pipelines * CI/CD and platform integration services * UI ... Data Engineering, or a related technical field. * Minimum 8 years of relevant experience in ...
$140 - $210/hr
MLOps workflows and model deployment pipelines * CI/CD and platform integration services * UI ... Data Engineering, or a related technical field. * Minimum 8 years of relevant experience in ...
$144 - $268/hr
Knowledge of MLOps practices and CI/CD pipelines for AI model deployment and lifecycle management * Experience with enterprise integration patterns and connecting AI solutions to CRMs, ERPs, or data ...
$144 - $268/hr
Knowledge of MLOps practices and CI/CD pipelines for AI model deployment and lifecycle management * Experience with enterprise integration patterns and connecting AI solutions to CRMs, ERPs, or data ...
$120 - $150/hr
You'll work at the intersection of engineering and data science, playing a key part in shaping how ... MLOps roles Strong hands-on experience with Airflow (MWAA), MLFlow, and/or SageMaker Familiarity ...
$120 - $150/hr
You'll work at the intersection of engineering and data science, playing a key part in shaping how ... MLOps roles Strong hands-on experience with Airflow (MWAA), MLFlow, and/or SageMaker Familiarity ...
$146 - $234/hr
... MLOps, data pipelines, and cloud infrastructure * Strong understanding of AI/ML development workflows, AI‑assisted engineering tools, or modern software development platforms * Demonstrated ...
$146 - $234/hr
... MLOps, data pipelines, and cloud infrastructure * Strong understanding of AI/ML development workflows, AI‑assisted engineering tools, or modern software development platforms * Demonstrated ...
$98 - $134/hr
MLOps & DevOps Collaboration: Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production. Execution of data science initiatives ...
$98 - $134/hr
MLOps & DevOps Collaboration: Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production. Execution of data science initiatives ...
Data Scientist
Louisville, KY · On-site
$98 - $134/hr
MLOps & DevOps Collaboration: Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production. Execution of data science initiatives ...
Data Scientist
Louisville, KY · On-site
$98 - $134/hr
MLOps & DevOps Collaboration: Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production. Execution of data science initiatives ...
$105 - $143/hr
This is an early-career engineering role focused on building, operating, and improving cloud data ... MLOps).*"Armanino" is the brand name under which Armanino LLP and Armanino Advisory LLC ...
$105 - $143/hr
This is an early-career engineering role focused on building, operating, and improving cloud data ... MLOps).*"Armanino" is the brand name under which Armanino LLP and Armanino Advisory LLC ...
$170 - $250/hr
Pinecone, Weaviate, FAISS, Milvus). * 3+ years in working with MLOps, data pipelines, evaluation ... engineering teams in AI, ML platform, or applied research domains. We're serious about your well ...
$170 - $250/hr
Pinecone, Weaviate, FAISS, Milvus). * 3+ years in working with MLOps, data pipelines, evaluation ... engineering teams in AI, ML platform, or applied research domains. We're serious about your well ...
$195 - $259/hr
Model Deployment & MLOps: Architect, implement, and manage scalable MLOps pipelines for the ... real-time data efficiently. * Cybersecurity & Defensive AI: Leverage machine learning for ...
$195 - $259/hr
Model Deployment & MLOps: Architect, implement, and manage scalable MLOps pipelines for the ... real-time data efficiently. * Cybersecurity & Defensive AI: Leverage machine learning for ...
$120 - $180/hr
... MLOps). * Lead data standardization initiatives to ensure high-quality, consistent, and AI-ready ... Partner with data engineering and IT teams to define and implement data governance frameworks ...
New
$120 - $180/hr
... MLOps). * Lead data standardization initiatives to ensure high-quality, consistent, and AI-ready ... Partner with data engineering and IT teams to define and implement data governance frameworks ...
New
$95 - $130/hr
Experience with DSML Automation platforms and MLOps tools.* Experience with Data Engineering/Cloud tools (Snowflake, BigQuery, AWS SageMaker), GenAI tools (Hugging Face, LangChain, LlamaIndex, OpenAI ...
$95 - $130/hr
Experience with DSML Automation platforms and MLOps tools.* Experience with Data Engineering/Cloud tools (Snowflake, BigQuery, AWS SageMaker), GenAI tools (Hugging Face, LangChain, LlamaIndex, OpenAI ...
$95 - $130/hr
Experience with DSML Automation platforms and MLOps tools. * Experience with Data Engineering/Cloud tools (Snowflake, BigQuery, AWS SageMaker), GenAI tools (Hugging Face, LangChain, LlamaIndex ...
$95 - $130/hr
Experience with DSML Automation platforms and MLOps tools. * Experience with Data Engineering/Cloud tools (Snowflake, BigQuery, AWS SageMaker), GenAI tools (Hugging Face, LangChain, LlamaIndex ...
$150 - $200/hr
Build what matters as a Data & AI Engineer at RevStar. RevStar is a dynamic team of engineers ... Stay current with AWS innovations in GenAI, MLOps, and scalable data platforms * Bachelor's or ...
$150 - $200/hr
Build what matters as a Data & AI Engineer at RevStar. RevStar is a dynamic team of engineers ... Stay current with AWS innovations in GenAI, MLOps, and scalable data platforms * Bachelor's or ...
$160 - $175/hr
Working closely with Software Engineering, Architecture, Security, Data Engineering, and MLOps, you will establish engineering standards, improve platform reliability, eliminate operational toil ...
$160 - $175/hr
Working closely with Software Engineering, Architecture, Security, Data Engineering, and MLOps, you will establish engineering standards, improve platform reliability, eliminate operational toil ...
$160 - $175/hr
Build and maintain curated datasets optimized for both analytics and model training use cases MLOps ... data engineering and data science/ML, with a demonstrated track record of shipping models to ...
$160 - $175/hr
Build and maintain curated datasets optimized for both analytics and model training use cases MLOps ... data engineering and data science/ML, with a demonstrated track record of shipping models to ...
$120 - $190/hr
You will utilize skills to query databases to extract data, use skills in Python or R to analyze ... Experience with MLOPS concepts and environments such as MLFLOW a plus. * Experience with basic ...
$120 - $190/hr
You will utilize skills to query databases to extract data, use skills in Python or R to analyze ... Experience with MLOPS concepts and environments such as MLFLOW a plus. * Experience with basic ...
Mlops Data Engineer information
What is an MLOps data engineer?
MLOps Data Engineers are professionals who blend expertise in machine learning (ML), operations (Ops), and data engineering to streamline the deployment and management of ML models in production environments. They design and maintain data pipelines, automate workflows, and ensure the scalability, reliability, and reproducibility of machine learning systems. Their role bridges the gap between data scientists and IT operations, enabling seamless integration of ML models into real-world applications.
What are the key skills and qualifications needed to thrive as an MLOps data engineer?
To thrive as an MLOps Data Engineer, you need a strong background in data engineering, machine learning workflows, and software development, usually supported by a degree in computer science or a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), CI/CD pipelines, containerization tools (like Docker and Kubernetes), and familiarity with orchestration frameworks are typically required, along with certifications in cloud or data engineering. Strong problem-solving abilities, collaboration, and clear communication set professionals apart in this role. These skills and qualities are critical to efficiently deploying scalable machine learning solutions and ensuring smooth collaboration between data science and engineering teams.
What are some common challenges MLOps data engineers face when deploying machine learning models into production?
MLOps Data Engineers often encounter challenges such as ensuring seamless integration between data pipelines and model serving infrastructure, managing consistent data quality, and automating model retraining and monitoring. Another common hurdle is maintaining scalability and reliability as data volumes grow, and efficiently collaborating with data scientists, software engineers, and DevOps teams. Addressing these challenges requires strong communication skills, familiarity with cloud platforms, and a proactive approach to troubleshooting and automation.
What is the difference between Mlops Data Engineer vs Data Scientist?
| Aspect | Mlops Data Engineer | Data Scientist |
|---|---|---|
| Required Skills | Machine learning deployment, cloud platforms, scripting, data pipelines | Statistical analysis, programming, data visualization, machine learning modeling |
| Certifications | Cloud certifications, ML engineering courses | Data science certifications, statistical courses |
| Work Environment | Data pipelines, cloud infrastructure, ML deployment systems | Data analysis, modeling, research environments |
| Industry Usage | Tech companies, AI-focused firms, cloud service providers | Research institutions, analytics firms, tech companies |
The main difference between an Mlops Data Engineer and a Data Scientist lies in their focus areas. Mlops Data Engineers specialize in deploying, maintaining, and scaling machine learning models within production environments, emphasizing infrastructure and automation. Data Scientists primarily focus on analyzing data, building models, and deriving insights. Both roles require strong technical skills, but their day-to-day tasks and career paths differ significantly.
Are MLOps Data Engineers in demand?
MLOps Data Engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are skilled in deploying, managing, and maintaining ML models using tools like Docker, Kubernetes, and cloud platforms, making their expertise highly sought after in data-driven organizations.
Is MLOps required for data engineers?
MLOps is increasingly important for data engineers involved in deploying and maintaining machine learning models, as it encompasses practices like automation, monitoring, and version control. While not always mandatory, knowledge of MLOps tools such as Docker, Kubernetes, and CI/CD pipelines enhances a data engineer's ability to support scalable and reliable ML systems.
What are popular job titles related to Mlops Data Engineer jobs in Kentucky?
For Mlops Data Engineer jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Mlops Data Engineer jobs in Kentucky look for?
The top searched job categories for Mlops Data Engineer jobs in Kentucky are:
What cities in Kentucky are hiring for Mlops Data Engineer jobs?
Cities in Kentucky with the most Mlops Data Engineer job openings:
Senior MLOps Engineer
On-site
NVIDIA Corporation •
Computer and Electronic Product Manufacturing • 10K+ employees10,000+ employees
9.6
Based on 18 frontline employees who took The Breakroom Quiz
7th of 247 rated software companies
Great coworkers
People enjoy working here
Good employer
Respectful managers
Learn new skills
$184 - $357/hr
Other
This job post has expired today. Applications are no longer accepted.
Job description
## Senior MLOps EngineerApplylocations: US, CA, Santa Claratime type: Full timeposted on: Posted 3 Days Agojob requisition id: JR2022618Want to build the data infrastructure that powers autonomous driving at scale? NVIDIA is seeking a Senior MLOps Engineer to join our Autonomous Driving organization in Santa Clara, CA. This individual contributor will design and operate end‐to‐end data and ML pipelines for NVIDIA’s autonomous driving products!The role builds and operates cloud pipelines that ingest, validate, process, and transform multimodal sensor data from camera, lidar, and radar into training, evaluation, and validation datasets. These pipelines enable NVIDIA’s AV program and customer‐facing autonomy features. Bring ownership, customer focus, and engineering judgment to scale systems and solve problems across teams.**What You Will Be Doing:*** Design, build, and operate data pipelines supporting NVIDIA’s autonomous driving technology from levels L2 through L4.* Own architecture, implementation, and operations for cloud pipelines that ingest, process, label, and validate sensor data.* Build observable MLOps systems for model training, ground truth generation, and continuous evaluation at AV scale.* Translate customer and program requirements into production systems with perception, ML, data labeling, infrastructure, and product teams.* Set technical direction, roadmaps, metrics, and operational benchmarks; deliver against program milestones.* Build systems that deliver measurable value to internal and external AV customers.* Contribute through design reviews, implementation, debugging, code reviews, and mentorship.* Work across Python, C++, distributed systems, cloud infrastructure, CI/CD, and data platforms.**What We Need to See:*** Bachelor’s or equivalent experience, Master’s, or PhD in Computer Science, Electrical Engineering, or a closely related field (or equivalent experience).* 8+ years of engineering experience designing and delivering production distributed systems.* Technical leadership as a senior individual contributor delivering large‐scale systems.* Experience with MLOps, data pipelines, and cloud distributed systems.* Proficiency in Python and C++ for system‐level and performance‐critical implementation.* Experience operating end‐to‐end data or ML pipelines for reliability, scale, and observability.* Prior experience in one or more of the following domains: Autonomous Vehicles, Robotics, Computer Vision, Deep Learning, or GPU‐accelerated computing.* Communication skills that align collaborators and drive execution across functions.* A record of ownership, accountability, and customer‐focused engineering.**Ways to Stand Out from the Crowd:*** Experience with AV data platforms handling petabyte‐scale sensor data.* Hands‐on contributions to production MLOps or data infrastructure.* Experience with automotive or robotic systems, including real‐world sensor data pipelines.* Background in distributed cloud systems, workflow orchestration, and large‐scale CI/CD.* Familiarity with 3D geometry, perception pipelines, or data generation based on simulated environments.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until August 10, 2026. #J-18808-Ljbffr
About Nvidia
Sourced by ZipRecruiter
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US
